An optimal tire slip ratio estimation system and method affixes a tire-identification device to a vehicle tire to provide a tire-specific identification and one or more sensors affixed to the tire for measuring one or more tire-specific parameters. A model-based optimal slip ratio estimator generates a model-derived optimal tire slip ratio estimation based upon an assessment of sensor-derived tire-specific parameter information based on the tire-specific identification.
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1. An optimal tire slip ratio estimation system comprising: a vehicle supported by at least one vehicle tire mounted to a hub, the vehicle tire having a tire cavity and a ground-engaging tread, and the tire having a plurality of tire-specific measureable parameters; a tire-affixed tire-identification device for providing an electronic tire-specific identification; a plurality of tire-affixed sensors mounted to the tire operably measuring the tire-specific parameters and generating tire-specific parameter information, the tire-specific parameter information including: a load estimation for the one vehicle tire, a measured temperature of the one vehicle tire, a measured air pressure within a cavity of the one vehicle tire, and a wear estimation for a tread region of the one vehicle tire; and a model-based optimal slip ratio estimator operable to generate a model-derived optimal tire slip ratio estimation from an assessment of the tire-specific parameter information relative to the electronic tire-specific identification.
A system estimates the optimal tire slip ratio for a vehicle. A tire-identification device attached to the tire provides a unique electronic ID. Multiple sensors on the tire measure its parameters, including load estimation, temperature, air pressure, and tread wear. These sensor readings, along with the tire's electronic ID, are fed into a model-based estimator. The estimator then calculates the optimal tire slip ratio using a model that considers these factors. The system aims to improve vehicle control by optimizing tire performance based on real-time tire conditions and characteristics.
2. A method of making an optimal tire slip ratio estimation comprising: mounting at least one vehicle tire to a vehicle, the vehicle tire having a tire cavity and a ground-engaging tread and the tire having a plurality of tire-specific measureable parameters; affixing to the one vehicle tire a tire identification device providing an electronic tire-specific identification; mounting a plurality of tire-affixed sensors to the tire operably measuring the tire-specific parameters to generate tire-specific parameter information; inputting the tire-specific information into a model-based optimal slip ratio estimator; and generating a model-derived optimal tire slip ratio estimation by the model-based optimal tire slip ratio estimator from an assessment of the tire-specific parameter information relative to the electronic tire-specific identification, wherein the tire-specific parameter information includes a load estimation for the one vehicle tire; a measured temperature of the one vehicle tire, a measured air pressure within a cavity of the one vehicle tire, and a wear estimation for a tread region of the one vehicle tire.
A method estimates the optimal tire slip ratio for a vehicle. First, a tire with measurable parameters is mounted on the vehicle. A tire-identification device is attached to the tire to provide a unique electronic ID. Multiple sensors are mounted on the tire to measure parameters like load, temperature, air pressure, and tread wear. This tire-specific data is then fed into a model-based estimator. The estimator calculates the optimal tire slip ratio by assessing the tire parameters relative to the tire's electronic ID. This process uses sensor data and tire identification to determine the ideal slip ratio for enhanced vehicle control.
3. The method according to claim 2 , further comprising substantially continuously updating the model-derived optimal tire slip ratio estimation during an operation of the vehicle to adjust for changes in the tire-specific information.
The method of estimating optimal tire slip ratio, involving tire ID and sensor data (load, temperature, pressure, wear), as previously described, further includes continuously updating the calculated optimal tire slip ratio during vehicle operation. This adjustment accommodates real-time changes in the tire-specific information gathered by the sensors, ensuring the slip ratio remains optimal even as conditions like tire temperature or load change.
4. The method according to claim 3 , further comprising using the updated optimal tire slip ratio estimation in at least one control system of the vehicle.
The method of estimating optimal tire slip ratio, involving tire ID, sensor data (load, temperature, pressure, wear), and continuous updates, as previously described, further utilizes the updated optimal tire slip ratio estimation in at least one control system of the vehicle. For example, the updated slip ratio can be used by an anti-lock braking system (ABS) or traction control system (TCS) to improve their performance.
5. The method according to claim 2 , further comprising utilizing a vehicle-based accelerometer signal to generate the load estimation for the one vehicle tire.
The method of estimating optimal tire slip ratio, involving tire ID and sensor data (temperature, pressure, wear), as previously described, further includes utilizing a vehicle-based accelerometer signal to calculate the load estimation for the tire. Instead of directly measuring the tire load, the system infers it from the vehicle's acceleration.
6. The optimal tire slip ratio estimation system of claim 1 , wherein the model-derived optimal tire slip ratio estimation is substantially continuously updated during an operation of the vehicle.
The system estimates the optimal tire slip ratio for a vehicle using a tire-identification device, tire sensors (measuring load, temperature, pressure, and wear), and a model-based estimator, as previously described. In this specific implementation, the model-derived optimal tire slip ratio estimation is substantially continuously updated during vehicle operation to account for changing tire conditions.
7. The optimal tire slip ratio estimator according to claim 1 , wherein the load estimation input into the model-based optimal tire slip ratio estimator operably calculates a load estimation based upon a vehicle-based hub accelerometer signal.
The optimal tire slip ratio estimator, utilizing a tire-identification device and tire sensors (measuring temperature, pressure, and wear), as previously described, calculates a load estimation based upon a vehicle-based hub accelerometer signal. The accelerometer measurements are processed by the model-based optimal tire slip ratio estimator to estimate the tire load, which is then used in the slip ratio calculation.
8. The optimal tire slip ratio estimation system of claim 6 , wherein the updated model-derived optimal tire slip ratio estimation is operably utilized in at least one control system of the vehicle.
The system estimates the optimal tire slip ratio for a vehicle using a tire-identification device, tire sensors (measuring load, temperature, pressure, and wear), and a model-based estimator, with continuous updates during vehicle operation, as previously described. In this specific implementation, the updated model-derived optimal tire slip ratio estimation is utilized in at least one control system of the vehicle, allowing real-time adjustment to improve performance of systems such as ABS and TCS.
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December 3, 2014
May 16, 2017
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